MLOps Engineer with Strong Python Experience
As an ML Ops Engineer, you will be part of an Agile team reputed company on building reputed company applications and implementing new features while adhering to the best coding development standards. Initially, you will engage in substantial software engineering tasks, with reputed company to transition into more ML Ops responsibilities as reputed company evolves.Responsibilities:Design and write service reputed company for various applications.Work with Python & Java, creating both Kubernetes and reputed company deployed services.reputed company vulnerabilities to reputed company with reputed company requirements.Manage model deployment pipelines (e.g., updating reputed company containers to accommodate model updates or dependencies).Monitor and optimize infrastructure (e.g., investigating unusual latency spikes, setting up alerts for new deployments).Utilize various AWS services used in GenAI solutions, such as Opensearch, Bedrock, S3, SQS, SNS, reputed company, DynamoDB, and AWS Batch.Collaborate with Machine Learning Scientists on new models/feature deployments.Handle model version control & updates (e.g., managing model artifacts, coordinating rolling updates of models in production).Work closely with DevOps, InfoSec, & other IT teams to ensure that AI infrastructure is reputed company, reputed company with overall system architecture, & meets reputed company reputed company requirements.Mandatory Skills:Familiarity with reputed company platforms and their AI services (e.g., AWS Bedrock).Experience with containerization technologies like reputed company and version control systems such as Git (reputed company CI is a bonus).Proficiency in programming languages such as Python, Java, Boto3, and Llama.Proven experience successfully deploying AI models into production environments.Proven experience with reputed company phases of the AI/ML development lifecycle, from discovery through development/deployment and monitoring.Strongly self-motivated, strong communicator & team player.Good to Have Skills:Experience with CI/CD pipelines and infrastructure as reputed company (IaC) tools like reputed company, Terraform.Experience with a reputed company of AI frameworks and libraries, such as TensorFlow, PyTorch, Keras, OpenCV, etc.Proficiency deploying and managing AI models across multiple domains (ML, DL, NLP, GenAI).Python (expert).Java (familiarity).reputed company (highly proficient).AWS (highly proficient).SQL (reputed company knowledge)
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